Joaquín Chung
Impact in
-
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Biochemistry top 10%
Papers in
-
- Software-Defined Networks and 5G 15
- Caching and Content Delivery 8
-
- Advanced Optical Network Technologies 4
- Co-authors
- A M Scanu (3 shared papers)Henry L. Owen (6 shared papers)G M Fless (1 shared paper)Rajkumar Kettimuthu (32 shared papers)Russell Clark (2 shared papers)Sean Donovan (3 shared papers)George Riley (1 shared paper)Ada Gavrilovska (1 shared paper)
- Journals
- Future Generation Computer Systems (3 papers)Integrated Computer-Aided Engineering (2 papers)Journal of Biological Chemistry (2 papers)Quantum Science and Technology (1 paper)Blood (1 paper)
- Partner nations
- United StatesSpainPanama
In The Last Decade
Joaquín Chung
45 papers receiving 766 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 323
- Biochemistry 51
- Endocrinology, Diabetes and Metabolism 77
- Artificial Intelligence 171
- Cancer Research 49
Countries citing papers authored by Joaquín Chung
This map shows the geographic impact of Joaquín Chung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joaquín Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joaquín Chung more than expected).
Fields of papers citing papers by Joaquín Chung
This network shows the impact of papers produced by Joaquín Chung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joaquín Chung. The network helps show where Joaquín Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Joaquín Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 1979 | 115 | |
| 3 | 1977 | 77 | |
| 4 | Towards IoT-DDoS Prevention Using Edge Computing | 2018 | 67 |
| 5 | 2021 | 62 | |
| 6 | 2005 | 61 | |
| 7 | 1981 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 1982 | 18 | |
| 10 | 2013 | 15 | |
| 11 | 1981 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2012 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 6 |
About Joaquín Chung
Joaquín Chung is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 53 papers that have together received 803 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (15 papers), Quantum Information and Cryptography (12 papers), Quantum Mechanics and Applications (8 papers), Caching and Content Delivery (8 papers), Quantum Computing Algorithms and Architecture (7 papers), Quantum optics and atomic interactions (7 papers), Cholesterol and Lipid Metabolism (4 papers) and Advanced Optical Network Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (323 citations), Biochemistry (51 citations), Endocrinology, Diabetes and Metabolism (77 citations), Artificial Intelligence (171 citations) and Cancer Research (49 citations). Joaquín Chung has collaborated with scholars based in United States, Spain and Panama. Frequent co-authors include A M Scanu, Henry L. Owen, G M Fless, Rajkumar Kettimuthu, Russell Clark, Sean Donovan, George Riley, Ada Gavrilovska, Ketan Bhardwaj and Martin Suchara. Their work appears in journals such as Future Generation Computer Systems, Integrated Computer-Aided Engineering, Journal of Biological Chemistry, Quantum Science and Technology and Blood.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.